Biography

Dr. Lei Zhang is currently working at College of Communication Engineering, Chongqing University. He obtained his Ph.D. in Communication Engineering from Chongqing University, China. His area of interest focuses on Pattern Recognition, Artificial Intelligence, Signal Processing, Machine Learning, Electronic Nose, Biometrics, Information Fusion, Multi-Sensor Systems, and Optimizations. His area of expertise includes, Pattern Recognition, Electronic Nose, Optimizations, Face Recognition, Artificial Intelligence, Biometrics, Support Vector Machine, Beauty Analysis, Signal Processing, Information Fusion, Artificial Neural Network, Time Series Analysis, Machine Learning, Multi-Sensor Systems, Sensor Array, and Bioinformatics. He has 24 publications in journals as author/co-author.

Area of Interest:

Computer Sciences

100%

Pattern Recognition

62%

Artificial Intelligence

90%

Signal Processing

75%

Machine Learning

55%

Research Publications in Numbers

Books
0

Chapters
0

Articles
0

Abstracts
0

Selected Publications

Zhang, L., F. Tian, X. Peng, L. Dang and G. Li et al., 2013. Standardization of metal oxide sensor array using artificial neural networks through experimental design. Sens. Actuators, B, 177: 947-955.
CrossRef | Direct Link |
Zhang, L., F. Tian, S. Liu, L. Dang and X. Peng et al., 2013. Chaotic time series prediction of E-nose sensor drift in embedded phase space. Sens. Actuators, B, 182: 71-79.
CrossRef | Direct Link |
Zhang, L., F. Tian, S. Liu, J. Guo and B. Hu et al., 2013. Chaos based neural network optimization for concentration estimation of indoor air contaminants by an electronic nose. Sens. Actuators A: Phys., 189: 161-167.
CrossRef | Direct Link |
Kadri, C., F. Tian, L. Zhang, X. Peng and X. Yin, 2013. Multi-objective genetic algorithm based selective neural networks ensemble for concentration estimation of indoor air pollutants using electronic nose. Int. J. Comput. Sci. Issues, 10: 105-112.
Direct Link |
Kadri, C., F. Tian, L. Zhang, G. Li and L. Dang et al., 2013. Neural network ensembles for online gas concentration estimation using an electronic nose. Int. J. Comput. Sci. Issues, 10: 129-135.
Direct Link |
Zhang, L., F. Tian, S. Wang and X. Liu, 2012. A novel coding method for gene mutation correction during protein translation process. J. Theor. Biol., 296: 33-40.
CrossRef | PubMed | Direct Link |
Zhang, L., F. Tian, S. Liu, H. Li and L. Pan et al., 2012. Applications of adaptive kalman filter coupled with multilayer perceptron for quantication purposes in electronic nose. J. Comput. Inf. Syst., 8: 275-282.
Direct Link |
Zhang, L., F. Tian, H. Nie, L. Dang and G. Li et al., 2012. Classification of multiple indoor air contaminants by an electronic nose and a hybrid support vector machine. Sens. Actuators. B. Chem., 174: 114-125.
CrossRef | Direct Link |
Zhang, L., F. Tian and S. Wang, 2012. A modified statistically optimal null filter method for recognizing protein-coding regions. Genomics Proteomics Bioinf., 10: 166-173.
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Tian, F., H. Li, L. Zhang, S. Liu and Q. Ye et al., 2012. A denoising method based on PCA and ICA in electronic nose for gases quantication. J. Comput. Inf. Syst., 8: 5005-5015.
Direct Link |
Bing-lian, Z., P. Guang-shu, Z. Lei and P. Xiao-qin, 2012. Spectrum Allocation with System Utility Maximization in Cognitive Radio Network. Comput. Eng., 38: 107-109.
CrossRef | Direct Link |
Bing-lian, Z., F. Jian-jun, Y. Ji-xiang and Z. Lei, 2012. Multi-position eye location based on complex background. Appl. Res. Comput., 2012: 1977-1979.
Direct Link |
Yong, L., Y. Shi-zhong, P. Xiao-qin, Y. Hong and Z. Lei, 2012. Statistic guarantees of QoS in wireless asymmetric relay networks. J. Beijing Univ. Posts Telecommun., 2012: 51-54.
Direct Link |
Zhang, L., F. Tian, C. Kadri, G. Pei and H. Li et al., 2011. Gases concentration estimation using heuristics and bio-inspired optimization models for experimental chemical electronic nose. Sens. Actuators, B, 160: 760-770.
CrossRef | Direct Link |
Zhang, L., F. Tian, C. Kadri, B. Xiao and H. Li et al., 2011. On-line sensor calibration transfer among electronic nose instruments for monitoring volatile organic chemicals in indoor air quality. Sens. Actuators, B, 160: 899-909.
CrossRef | Direct Link |